WHITE PAPER:
This white paper offers a cost-effective information management solution that optimizes storage infrastructures while also maintaining the performance and scalability that businesses require.
WHITE PAPER:
This white paper highlights three top ways storage virtualization can help you cost-efficiently tackle some of your toughest challenges associated with data growth.
WHITE PAPER:
Read this overview brief to learn how Oracle Exadata Database Machine addresses the needs of today’s businesses with extreme performance for enterprise data warehousing, online transaction processing (OLTP), and mixed workloads.
PRESENTATION TRANSCRIPT:
Auto tiering is one of the best ways to improve storage efficiency and, in the long term, reduce storage costs through right-sizing your storage infrastructure, leading to greater agility. Check out this transcript featuring storage expert Ashish Nadkarni, of the Taneja Group, to learn more about what tiering can do for your data center.
WHITE PAPER:
This white paper contains a sampling of real business results that organizations around the world, in a variety of industries, have achieved by upgrading and standardizing on Oracle Database 11g.
WHITE PAPER:
Choosing the right hardware for your virtual environment can be a painstaking process, especially since it is difficult to predict how a platform will perform once it is deployed. This white paper examines one hardware configuration and measures the number of orders per minute and virtual machines it can support.
CASE STUDY:
When 20th Century Fox needed to find a way to increase its software performance and provide users with faster online transaction processing they turned to performance testing software. Read this brief case study to learn how easy the system was to implement and the benefits that Fox was able to see.
WHITE PAPER:
This technical resource examines three key new features of SQL Server 2014 that deliver mission-critical performance, faster data insights, and migration of data to the cloud.
WHITE PAPER:
This white paper explains how by partitioning databases based on the lifecycles of the information and compressing historical data, IT departments can reduce their dependency on high-end storage, reduce their incremental storage costs, keep more data online for longer periods, and improve the performance of applications.
DATA SHEET:
Discover this optimized package of software, servers and storage with additional CPU core and memory capacity that can support OLTP, DW or mixed application workloads and creates consolidation economies of scale in the data center.
